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Optimal Rescue Ship Locations Using Image Processing and Clustering
S S symmetry Article Optimal Rescue Ship Locations Using Image Processing and Clustering Cho-Young Jung 1 and Sang-Lok Yoo 2,* 1 Department of Marine Science and Production, Kunsan National University, Gunsan 54150, Jeonbuk, Korea; [email protected] 2 Mokpo Maritime University, Mokpo 58628, Jeonnam, Korea * Correspondence: [email protected]; Tel.: +82-61-240-7175 Received: 15 October 2018; Accepted: 11 December 2018; Published: 2 January 2019 Abstract: Currently, globalization of the world economy has also resulted in a shipping volume increase. However, this growth in maritime traffic has led to increased risk of marine accidents. These accidents have a higher probability of occurring in regions where geographical features such as islands are present. Further, the positioning of rescue ships in a particular ocean region with a high level of maritime activity is critical for rescue operations. This paper proposes a method for determining an optimal set of locations for stationing rescue ships in an ocean region with numerous accident sites, such as in the Wando islands of South Korea. The computational challenge in this problem is identified as the positioning of numerous islands of varying sizes located in the region. Thus, the proposed method combines a clustering-based optimization method and an image processing approach that incorporates flood filling to calculate the shortest pixel value between two points in the ocean that detours around the islands. Experimental results indicate that the proposed method reduces the distance between rescue ships and each accident site by 5.0 km compared to the original rescue ship locations. Thus, rescue time is reduced. -
New Challenges Facing Asian Agriculture Under Globalisation
New Challenges Facing --------1-------- Asian Agriculture under Globalisation Volume II Edited by Jamalludin Sulaiman Fatimah Mohamed Arshad Mad Nasir Shamsudin 34 Farm Household Debt Problems in Jeonnom Province, Korea: ACose Study J.K. Park, P.S. Park and K.H. Song Introduction Farm loans have increased quite rapidly in the recent decades and the farm household debt 1 matter has become a serious socio-economic issue in Korea. In an effort to get around this critical issue, the government would prepare and implement impromptu new debt measures. Yet, the farm-debt ratio over farm income has been increasing very rapidly since the beginning of the WTO in 1995 and the IMF financial crisis of 1997, leading to 88 per cent as that of 2000, mainly due to low agricultural income. During the period of 1994 (the year right before the beginning of the WTO)-2000, farm household income had increased by 13.6 per cent but debt had increased by as much as 156.3 per cent (MAF, 2001 ). That is, farm household debt has been increasing very rapidly since 1995. Yet, the ratio of non-farm income accounted for around 32 per cent of farm income in recent years, which made it more difficult for farmers to repay their loans. This problem is getting even more complicated because of joint surety among the farmers, which would lead to total bankruptcy of farms including financially sound farms. Recently, more than 7 5 per cent of farm loans were utilised for the purpose of agricultural production. In order to cope with labour shortage problems due to the rural-urban migration of labour force, farmers began to purchase more agricultural machinery, which eventually led to the galloping farm household debts. -